This notebook contains a set of analyses for analyzing Quinns boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
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We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine a predictive model trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
Quinns | training | published before 2020 | 203 | 385 |
Quinns | validation | published 2020 | 13 | 19 |
Quinns | test | published after 2020 | 7 | 11 |
There are two main (binary) outcomes we will be modeling for the user.
The first, owned refers to whether the user currently owns or has previously owned a game in their collection. The second, rated refers to whether the user has rated the game. We will train predictive models to learn the probability that the user will own or play individual games based on their features.
We can examine coefficients from the trained modes, which are penalized logistic regressions fit to our two main outcomes. Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | In_Collection | All_Games | Ratio |
Quinns | CMON Global Limited | 3.9% | 0.6% | 7.01 |
Quinns | Fantasy Flight Games | 11.8% | 1.9% | 6.27 |
Quinns | Spies Secret Agents | 5.4% | 1.1% | 4.86 |
Quinns | Renegade Game Studios | 3.0% | 0.6% | 4.72 |
Quinns | Space Exploration | 5.9% | 1.4% | 4.34 |
Quinns | Pegasus Spiele | 14.3% | 3.4% | 4.22 |
Quinns | ZMan Games | 9.4% | 2.4% | 3.89 |
Quinns | Japan | 4.4% | 1.3% | 3.39 |
Quinns | Iello | 6.9% | 2.1% | 3.22 |
Quinns | Scenario Mission Campaign Game | 5.4% | 2.2% | 2.42 |
Quinns | Teambased Game | 12.8% | 5.4% | 2.36 |
Quinns | Unknown | 2.5% | 1.2% | 2.14 |
Quinns | Auction Bidding | 12.8% | 6.1% | 2.10 |
Quinns | Hand Management | 42.4% | 24.0% | 1.76 |
Quinns | Action Dexterity | 4.9% | 4.8% | 1.04 |
Quinns | Memory Mechanicanic | 2.0% | 4.1% | 0.48 |
Quinns | Wargame | 5.9% | 15.2% | 0.39 |
Quinns | Kosmos | 1.0% | 2.8% | 0.36 |
Quinns | Movies TV Radio Theme | 1.5% | 4.6% | 0.32 |
Quinns | Childrens Game | 1.0% | 6.5% | 0.15 |
Quinns | Roll Spin And Move | 0.0% | 5.7% | 0.00 |
Quinns | Stock Holding | 0.0% | 1.7% | 0.00 |
Quinns | Zombies | 0.0% | 1.2% | 0.00 |
Quinns | Ancient Rome | 0.0% | 1.4% | 0.00 |
Quinns | Educational | 0.0% | 2.0% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can display this information in table form, displaying the 100 games with the highest probability of ownership, adding a blue line when the user does own the game.
Published | ID | Name | Pr(Owned) | Owned |
2018 | 205896 | Rising Sun | 0.830 | no |
2019 | 260710 | Amul | 0.709 | no |
2012 | 120677 | Terra Mystica | 0.656 | no |
2012 | 104162 | Descent: Journeys in the Dark (Second Edition) | 0.628 | no |
2016 | 205059 | Mansions of Madness: Second Edition | 0.621 | no |
2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.612 | no |
2018 | 199792 | Everdell | 0.602 | no |
2016 | 205637 | Arkham Horror: The Card Game | 0.602 | yes |
2016 | 205398 | Citadels | 0.566 | no |
2014 | 148228 | Splendor | 0.558 | no |
2018 | 313010 | Cosmic Encounter: 42nd Anniversary Edition | 0.539 | no |
2018 | 244711 | Newton | 0.515 | no |
2017 | 220308 | Gaia Project | 0.496 | yes |
2008 | 39463 | Cosmic Encounter | 0.485 | no |
2013 | 144239 | Impulse | 0.470 | no |
2016 | 171131 | Captain Sonar | 0.468 | no |
2008 | 37111 | Battlestar Galactica: The Board Game | 0.463 | yes |
2009 | 39683 | At the Gates of Loyang | 0.462 | no |
2012 | 104363 | Rex: Final Days of an Empire | 0.453 | no |
2003 | 6472 | A Game of Thrones | 0.439 | no |
2015 | 169255 | A Game of Thrones: The Card Game (Second Edition) | 0.437 | no |
2010 | 25292 | Merchants & Marauders | 0.408 | no |
2016 | 207336 | Honshū | 0.393 | no |
2019 | 269385 | The Lord of the Rings: Journeys in Middle-Earth | 0.382 | no |
2002 | 4098 | Age of Steam | 0.382 | no |
2008 | 38707 | Bushido: Der Weg des Kriegers | 0.378 | no |
2011 | 70919 | Takenoko | 0.378 | no |
1997 | 42 | Tigris & Euphrates | 0.360 | yes |
2009 | 45134 | Arcana | 0.359 | no |
2017 | 232979 | Richard the Lionheart | 0.340 | no |
2017 | 186751 | Mythic Battles: Pantheon | 0.328 | no |
2017 | 174430 | Gloomhaven | 0.326 | no |
2018 | 246192 | Gizmos | 0.325 | no |
2015 | 182028 | Through the Ages: A New Story of Civilization | 0.325 | no |
1995 | 112 | Condottiere | 0.321 | yes |
2014 | 164153 | Star Wars: Imperial Assault | 0.318 | no |
2014 | 132531 | Roll for the Galaxy | 0.314 | yes |
2011 | 97207 | Dungeon Petz | 0.313 | no |
2014 | 154203 | Imperial Settlers | 0.312 | no |
2019 | 283863 | The Magnificent | 0.311 | no |
2016 | 192945 | Coal Baron: The Great Card Game | 0.311 | no |
2014 | 151004 | Smash Up: Science Fiction Double Feature | 0.302 | no |
2017 | 233078 | Twilight Imperium: Fourth Edition | 0.299 | no |
2015 | 181304 | Mysterium | 0.289 | no |
2019 | 270971 | Era: Medieval Age | 0.285 | no |
2017 | 224037 | Codenames: Duet | 0.285 | no |
2012 | 117915 | Yedo | 0.282 | no |
2011 | 98229 | Pictomania | 0.279 | no |
2016 | 167791 | Terraforming Mars | 0.278 | yes |
1996 | 932 | Top Race | 0.278 | no |
2016 | 198110 | Kreus | 0.275 | no |
2018 | 192296 | The Pirate Republic | 0.273 | no |
1999 | 47 | Chinatown | 0.269 | no |
2016 | 169786 | Scythe | 0.266 | no |
2011 | 96848 | Mage Knight Board Game | 0.263 | no |
2017 | 190082 | Whitehall Mystery | 0.259 | yes |
2019 | 285774 | Marvel Champions: The Card Game | 0.254 | yes |
2019 | 220730 | The Scarlet Pimpernel | 0.246 | no |
2008 | 33107 | Senji | 0.243 | no |
2011 | 104006 | Village | 0.243 | no |
2016 | 198928 | Pandemic: Iberia | 0.241 | no |
2000 | 478 | Citadels | 0.240 | yes |
2007 | 31260 | Agricola | 0.237 | no |
2016 | 198773 | Codenames: Pictures | 0.235 | no |
2013 | 141517 | A Study in Emerald | 0.233 | no |
2017 | 234487 | Altiplano | 0.233 | no |
2019 | 283289 | ClipCut Parks | 0.232 | no |
2017 | 220775 | Codenames: Disney – Family Edition | 0.230 | no |
2012 | 118063 | Android: Infiltration | 0.230 | no |
2016 | 202207 | Virulence: An Infectious Card Game | 0.230 | no |
2019 | 264052 | Circadians: First Light | 0.229 | no |
2008 | 37380 | Roll Through the Ages: The Bronze Age | 0.229 | no |
2011 | 102548 | Dungeon Fighter | 0.229 | no |
2007 | 28143 | Race for the Galaxy | 0.227 | yes |
2015 | 170216 | Blood Rage | 0.227 | no |
1995 | 13 | Catan | 0.226 | no |
2000 | 555 | The Princes of Florence | 0.223 | no |
2016 | 155821 | Inis | 0.223 | no |
2017 | 179172 | Unfair | 0.220 | no |
2016 | 200147 | Kanagawa | 0.220 | no |
2014 | 156129 | Deception: Murder in Hong Kong | 0.215 | no |
2018 | 247763 | Underwater Cities | 0.213 | no |
2000 | 475 | Taj Mahal | 0.212 | no |
2016 | 196340 | Yokohama | 0.210 | no |
2005 | 15062 | Shadows over Camelot | 0.206 | no |
2019 | 276025 | Maracaibo | 0.206 | no |
2015 | 171623 | The Voyages of Marco Polo | 0.205 | no |
2019 | 256960 | Pax Pamir: Second Edition | 0.203 | no |
2012 | 127398 | Legends of Andor | 0.203 | no |
2014 | 146886 | La Granja | 0.202 | no |
2017 | 234378 | Unfinished Case of Holmes | 0.202 | no |
2009 | 33160 | Endeavor | 0.200 | no |
2019 | 283317 | The 7th Continent: Classic Edition | 0.198 | no |
2018 | 259809 | Sonar Family | 0.198 | no |
1998 | 3 | Samurai | 0.194 | no |
2012 | 40765 | Clash of Cultures | 0.194 | no |
2018 | 225694 | Decrypto | 0.193 | yes |
2017 | 217861 | Paper Tales | 0.193 | no |
2019 | 270844 | Imperial Settlers: Empires of the North | 0.191 | no |
2019 | 169427 | Middara: Unintentional Malum – Act 1 | 0.191 | no |
We can also more formally assess how well the model did in resampling by looking at the area under the receiver operating characteristic. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
What games does the model think Quinns is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2018 | 205896 | Rising Sun | 0.830 | no |
2019 | 260710 | Amul | 0.709 | no |
2012 | 120677 | Terra Mystica | 0.656 | no |
2012 | 104162 | Descent: Journeys in the Dark (Second Edition) | 0.628 | no |
2016 | 205059 | Mansions of Madness: Second Edition | 0.621 | no |
What games does the model think Quinns is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
1966 | 5894 | Twister | 0.001 | yes |
2016 | 192547 | Go Cuckoo! | 0.001 | yes |
2018 | 250458 | Gùgōng | 0.003 | yes |
2011 | 91536 | Quarriors! | 0.003 | yes |
1995 | 220 | High Society | 0.004 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Terra Mystica | Impulse | Splendor | A Game of Thrones: The Card Game (Second Edition) | Mansions of Madness: Second Edition | Gaia Project | Rising Sun | Amul |
2 | Descent: Journeys in the Dark (Second Edition) | A Study in Emerald | Star Wars: Imperial Assault | Through the Ages: A New Story of Civilization | Arkham Horror: The Card Game | Richard the Lionheart | Everdell | The Lord of the Rings: Journeys in Middle-Earth |
3 | Robinson Crusoe: Adventures on the Cursed Island | Smash Up: Awesome Level 9000 | Roll for the Galaxy | Mysterium | Citadels | Mythic Battles: Pantheon | Cosmic Encounter: 42nd Anniversary Edition | The Magnificent |
4 | Rex: Final Days of an Empire | Legacy: The Testament of Duke de Crecy | Imperial Settlers | Blood Rage | Captain Sonar | Gloomhaven | Newton | Era: Medieval Age |
5 | Yedo | Patchistory | Smash Up: Science Fiction Double Feature | The Voyages of Marco Polo | Honshū | Twilight Imperium: Fourth Edition | Gizmos | Marvel Champions: The Card Game |
6 | Android: Infiltration | Relic | Deception: Murder in Hong Kong | Codenames | Coal Baron: The Great Card Game | Codenames: Duet | The Pirate Republic | The Scarlet Pimpernel |
7 | Legends of Andor | Tash-Kalar: Arena of Legends | La Granja | Raptor | Terraforming Mars | Whitehall Mystery | Underwater Cities | ClipCut Parks |
8 | Clash of Cultures | The Phantom Society | DungeonQuest Revised Edition | Mombasa | Kreus | Altiplano | Sonar Family | Circadians: First Light |
9 | Wiz-War (Eighth Edition) | Rococo | AquaSphere | Grand Austria Hotel | Scythe | Codenames: Disney – Family Edition | Decrypto | Maracaibo |
10 | Winter Tales | Space Sheep! | Shipwrights of the North Sea | My Village | Pandemic: Iberia | Unfair | Crown of Emara | Pax Pamir: Second Edition |
11 | Exodus: Proxima Centauri | LEADERS: The Combined Strategy Game | Three Kingdoms Redux | A Study in Emerald (Second Edition) | Codenames: Pictures | Unfinished Case of Holmes | Detective: A Modern Crime Board Game | The 7th Continent: Classic Edition |
12 | Mafia: Vendetta | Glass Road | Istanbul | Raiders of the North Sea | Virulence: An Infectious Card Game | Paper Tales | Treasure Island | Imperial Settlers: Empires of the North |
13 | Lyssan | Russian Railroads | [redacted] | Arboretum | Inis | Battle for Rokugan | Blackout: Hong Kong | Middara: Unintentional Malum – Act 1 |
14 | Edo | Lewis & Clark: The Expedition | Port Royal | Runebound (Third Edition) | Kanagawa | SpyNet | Exodus: Paris Nouveau | Pandemic: Rapid Response |
15 | Kemet | Theseus: The Dark Orbit | Ultimate Werewolf | FUSE | Yokohama | Smash Up: Big in Japan | Reykholt | Kodachi |
16 | Space Cadets | Smash Up: The Obligatory Cthulhu Set | Warhammer 40,000: Conquest | Mission: Red Planet (Second Edition) | Camel Up Cards | Legend of the Five Rings: The Card Game | Founders of Gloomhaven | Cartographers |
17 | Android: Netrunner | Blood Bound | Age of War | Forbidden Stars | A Feast for Odin | Legacy of Dragonholt | Let's Make a Bus Route | Barrage |
18 | Teomachia | Salmon Run | Onirim (Second Edition) | Elysium | New Angeles | Pandemic: Rising Tide | Heroes of Terrinoth | Star Wars: Outer Rim |
19 | Urbion | Eight-Minute Empire: Legends | Chimera | The Bloody Inn | DOOM: The Board Game | Downforce | Visitor in Blackwood Grove | Sabotage |
20 | Sewer Pirats | Two Rooms and a Boom | Deus | Brick Party | Agricola (Revised Edition) | First Martians: Adventures on the Red Planet | Railroad Ink: Blazing Red Edition | Dungeon Academy |
21 | Trains | Ultimate Werewolf: Inquisition | Saint Petersburg (Second Edition) | Warhammer Quest: The Adventure Card Game | When I Dream | Kronia | New Frontiers | Paranormal Detectives |
22 | The Last Banquet | Bruxelles 1893 | Alchemists | Fury of Dracula (Third/Fourth Edition) | Sherlock Holmes Consulting Detective: Jack the Ripper & West End Adventures | A Handful of Stars | Coimbra | Tapestry |
23 | Archipelago | Bruges | Eggs and Empires | Drakon (Fourth Edition) | Krosmaster Arena 2.0 | Sunflower Valley | SpaceCorp: 2025-2300AD | Aquatica |
24 | Pax Porfiriana | Packet Row | Fields of Arle | City of Spies: Estoril 1942 | Dokmus | Calimala | Architects of the West Kingdom | HexRoller |
25 | Merchant of Venus (Second Edition) | Kohle & Kolonie | RARRR!! | The King Is Dead | Roll Player | Runewars Miniatures Game | Prowler's Passage | In the Hall of the Mountain King |
Interactive table for predictions from resampling.
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2021?
username | outcome | dataset | method | .metric | .estimate |
Quinns | owned | validation | glmnet | roc_auc | 0.803 |
Table of top 50 games from 2021, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 298572 | Cosmic Encounter Duel | 0.418 | no |
2020 | 184267 | On Mars | 0.389 | no |
2020 | 301880 | Raiders of Scythia | 0.256 | no |
2020 | 320819 | Dinner in Paris | 0.235 | no |
2020 | 293531 | Detective: A Modern Crime Board Game – Season One | 0.220 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.193 | no |
2020 | 296151 | Viscounts of the West Kingdom | 0.180 | no |
2020 | 281655 | High Frontier 4 All | 0.176 | no |
2020 | 300322 | Hallertau | 0.174 | yes |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.164 | no |
2020 | 279537 | The Search for Planet X | 0.141 | yes |
2020 | 245659 | Vampire: The Masquerade – Vendetta | 0.125 | yes |
2020 | 295646 | Spyfest | 0.118 | no |
2020 | 307844 | Atheneum: Mystic Library | 0.118 | no |
2020 | 293296 | Splendor: Marvel | 0.115 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.110 | no |
2020 | 301767 | Mysterium Park | 0.104 | no |
2020 | 256999 | Project: ELITE | 0.103 | no |
2020 | 319966 | The King Is Dead: Second Edition | 0.103 | no |
2020 | 299074 | Space Battle Lunchtime Card Game | 0.103 | no |
2020 | 257193 | Starcadia Quest | 0.103 | no |
2020 | 318977 | MicroMacro: Crime City | 0.101 | no |
2020 | 298371 | Wild Space | 0.101 | no |
2020 | 256317 | Guild Master | 0.101 | no |
2020 | 312346 | Munchkin Disney | 0.100 | no |
2020 | 300300 | Chronicles of Crime: 1400 | 0.097 | no |
2020 | 257198 | TOKYO TSUKIJI MARKET | 0.092 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.092 | no |
2020 | 281466 | Yedo: Deluxe Master Set | 0.091 | no |
2020 | 313008 | Apollo: A Game Inspired by NASA Moon Missions | 0.089 | no |
2020 | 297030 | Tekhenu: Obelisk of the Sun | 0.087 | no |
2020 | 299047 | Disney Villainous: Perfectly Wretched | 0.087 | no |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.082 | no |
2020 | 299939 | Doodle Dungeon | 0.081 | no |
2020 | 262939 | Far Away | 0.080 | no |
2020 | 301607 | KeyForge: Mass Mutation | 0.080 | no |
2020 | 288169 | The Fox in the Forest Duet | 0.079 | no |
2020 | 246900 | Eclipse: Second Dawn for the Galaxy | 0.076 | yes |
2020 | 296517 | Contact: Signals from Outer Space | 0.076 | no |
2020 | 245224 | La Belle Époque | 0.076 | no |
2020 | 318983 | Faiyum | 0.075 | no |
2020 | 300001 | Renature | 0.075 | no |
2020 | 309003 | The Detective Society | 0.074 | no |
2020 | 266188 | Seven Bridges | 0.073 | no |
2020 | 298047 | Marvel United | 0.072 | no |
2020 | 298638 | Sheriff of Nottingham: 2nd Edition | 0.071 | no |
2020 | 316377 | 7 Wonders (Second Edition) | 0.067 | no |
2020 | 306687 | Get Out of Colditz: The Card Game | 0.067 | no |
2020 | 308663 | 7 Gods | 0.066 | no |
2020 | 256509 | The One Hundred Torii | 0.066 | no |
Examine the top 50 games for upcoming games, highlighting in blue ones the user owns or has preordered.
Published | ID | Name | Pr(Owned) | Owned | Preordered |
2021 | 299255 | Vienna Connection | 0.696 | no | no |
2021 | 322708 | Descent: Legends of the Dark | 0.381 | no | no |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.318 | no | no |
2021 | 318084 | Furnace | 0.232 | no | no |
2022 | 310873 | Carnegie | 0.221 | no | no |
2021 | 340466 | Unfathomable | 0.217 | no | no |
2021 | 343905 | Boonlake | 0.213 | no | no |
2022 | 283137 | Human Punishment: The Beginning | 0.202 | no | no |
2021 | 291572 | Oath: Chronicles of Empire and Exile | 0.197 | no | no |
2021 | 338834 | MicroMacro: Crime City – Full House | 0.173 | no | no |
2021 | 284653 | Mind MGMT: The Psychic Espionage “Game.” | 0.164 | no | no |
2022 | 305096 | Endless Winter: Paleoamericans | 0.163 | no | no |
2021 | 331059 | Last Message | 0.162 | no | no |
2021 | 306881 | Railroad Ink Challenge: Lush Green Edition | 0.160 | no | no |
2021 | 221298 | NewSpeak | 0.160 | no | no |
2021 | 339906 | The Hunger | 0.155 | no | no |
2022 | 256680 | Return to Dark Tower | 0.131 | no | no |
2021 | 285967 | Ankh: Gods of Egypt | 0.129 | no | no |
2021 | 305761 | Whale Riders | 0.128 | no | no |
2021 | 304783 | Hadrian's Wall | 0.126 | no | no |
2022 | 295770 | Frosthaven | 0.121 | no | no |
2022 | 319807 | Shogun no Katana | 0.119 | no | no |
2021 | 329713 | Dune: House Secrets | 0.118 | no | no |
2021 | 323612 | Bitoku | 0.118 | no | no |
2022 | 347013 | Get on Board: New York & London | 0.112 | no | no |
2021 | 297562 | Kemet: Blood and Sand | 0.112 | no | no |
2022 | 331106 | The Witcher: Old World | 0.110 | no | no |
2021 | 329714 | Dreadful Circus | 0.108 | no | no |
2021 | 335678 | Let's Make a Bus Route: The Dice Game | 0.105 | no | no |
2021 | 328286 | Mission ISS | 0.105 | no | no |
2021 | 338980 | Eastern Empires | 0.101 | no | no |
2022 | 328866 | My Father's Work | 0.100 | no | no |
2021 | 342942 | Ark Nova | 0.100 | no | no |
2021 | 318184 | Imperium: Classics | 0.098 | no | no |
2021 | 333553 | For the King (and Me) | 0.098 | no | no |
2022 | 304051 | Creature Comforts | 0.098 | no | no |
2021 | 300148 | Spy Connection | 0.096 | no | no |
2021 | 283387 | Rocketmen | 0.096 | no | no |
2023 | 337627 | Voidfall | 0.095 | no | no |
2021 | 251661 | Oathsworn: Into the Deepwood | 0.093 | no | no |
2021 | 302312 | Chronicles of Crime: 2400 | 0.092 | no | no |
2022 | 340325 | Vagrantsong | 0.089 | no | no |
2021 | 249277 | Brazil: Imperial | 0.085 | no | no |
2021 | 344277 | Corrosion | 0.085 | no | no |
2021 | 318182 | Imperium: Legends | 0.084 | no | no |
2021 | 316287 | Quest | 0.084 | no | no |
2021 | 282776 | Tumble Town | 0.084 | no | no |
2021 | 335131 | Sticky Cthulhu | 0.083 | no | no |
2022 | 326945 | Castles of Mad King Ludwig: Collector's Edition | 0.083 | no | no |
2021 | 315767 | Cartographers Heroes | 0.083 | no | no |